open-codex-computer-use

作者 iFurySt已验证

👾 Open Computer Use – Open-Source Alternative to Codex Computer Use

1,760
Stars
163
Forks
Swift
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/iFurySt/open-codex-computer-use

快速入门

使用 open-codex-computer-use 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

open-computer-use

English 简体中文 Release Ask DeepWiki LLMAPIS

[!TIP] Interested in Browser Use? Check out open-browser-use.


open-computer-use is an open-source Computer Use service wrapped as MCP. Any AI agent or MCP client can use it to run Computer Use on macOS, Linux, and Windows.

This project was inspired by OpenAI's Codex Computer Use. It showed that non-intrusive CUA can be built on top of Accessibility, so I decided to build an open-source version.

I started this repo with my harness template, a template for quickly spinning up AI-first projects. It has been one of our most useful workflows lately, especially for nearly 100% AI-generated projects. I also wrote a post about the methodology behind it.

Demos

Codex App and Codex CLI

Open Computer Use custom demo cover

open-computer-use used as Computer Use in Codex App and Codex CLI, matching the official experience.

Gemini CLI

https://github.com/user-attachments/assets/eacb3b15-f939-46c7-b3b3-6f876977a58d

Gemini CLI connects to open-computer-use through MCP and runs full Computer Use actions.

Linux

https://github.com/user-attachments/assets/e036b1c8-2200-4896-abd4-19225915cf66

open-computer-use running on Linux.

Quick Start

npm i -g open-computer-use

The npm package also exposes ocu as the short CLI alias.

[!IMPORTANT] The macOS runtime requires macOS 14.0 or later.

On macOS, run it once and grant Accessibility and Screen Recording. Windows and Linux do not need this step.

open-computer-use
# or
ocu

Before using it, install it into your agent:

# Install into Codex by writing to ~/.codex/config.toml
open-computer-use install-codex-mcp

Or add it to your own client manually:

{
  "mcpServers": {
    "open-computer-use": {
      "command": "open-computer-use",
      "args": ["mcp"]
    }
  }
}

Skill

Install the skill directly:

# Install for Codex
npx skills add iFurySt/open-codex-computer-use -g -a codex --skill open-computer-use -y
npx skills ls -g -a codex | rg 'open-computer-use'

Install for Claude Code:

npx skills add iFurySt/open-codex-computer-use -g -a claude-code --skill open-computer-use -y

Update an existing global install, including the Codex install created above:

npx skills update open-computer-use -g -y

You can also manually download and install the open-computer-use skill.

More

Besides the MCP JSON config above, you can also use the built-in commands:

# Install into Codex by writing to ~/.codex/config.toml
open-computer-use install-codex-mcp
ocu install-codex-mcp

# Install as a Codex plugin, mainly for Codex App
open-computer-use install-codex-plugin

# Install into Claude Code by writing to ~/.claude.json
open-computer-use install-claude-mcp

# Install into Gemini CLI for the current project by writing to ./.gemini/settings.json
open-computer-use install-gemini-mcp

# Install into Gemini CLI user config instead
open-computer-use install-gemini-mcp --scope user

# Install into opencode by writing to ~/.config/opencode/opencode.json (or the active config file)
open-computer-use install-opencode-mcp

# Call a single Computer Use tool and print the MCP-style JSON result
open-computer-use call list_apps
ocu call list_apps
open-computer-use call get_app_state --args '{"app":"TextEdit"}'

# Run a sequence in one process so element_index state can be reused
# Sequence runs sleep 1s between successful operations by default
open-computer-use call --calls '[{"tool":"get_app_state","args":{"app":"TextEdit"}},{"tool":"press_key","args":{"app":"TextEdit","key":"Return"}}]'
open-computer-use call --calls-file examples/textedit-overlay-seq.json --sleep 0.5

# Check permissions; onboarding only opens when something is missing
open-computer-use doctor

# Run local validation from a source checkout
make smoke
OPEN_COMPUTER_USE_STRESS_LOOPS=20 make stress
make agent-smoke
make agent-smoke SCENARIO=fixture-full
node ./scripts/run-agent-smoke-tests.mjs --agents=claude,codex --command=open-computer-use
node ./scripts/run-agent-smoke-tests.mjs --scenario=fixture --agents=claude,codex --command=open-computer-use
node ./scripts/run-agent-smoke-tests.mjs --scenario=fixture-full --agents=claude,codex --command=open-computer-use
OPEN_COMPUTER_USE_HERMES_PROVIDER=anthropic OPEN_COMPUTER_USE_HERMES_MODEL=claude-opus-4-20250514 make agent-smoke AGENTS=hermes SCENARIO=fixture-full
node ./scripts/run-agent-smoke-tests.mjs --agents=hermes --hermes-provider=anthropic --hermes-model=claude-opus-4-20250514
node ./scripts/run-agent-smoke-tests.mjs --scenario=fixture --agents=hermes --hermes-provider=anthropic --hermes-model=claude-opus-4-20250514
node ./scripts/run-agent-smoke-tests.mjs --scenario=fixture-full --agents=hermes --hermes-provider=anthropic --hermes-model=claude-opus-4-20250514 --hermes-max-turns=12

# Show help
open-computer-use -h
ocu -h

Cursor Motion

Cursor Motion is an open-source cursor motion system for macOS, based on public information shared by members of the Software.Inc team. You can download the app from the Releases page.

Cursor Motion custom demo cover

Star History

Star History Chart for open-computer-use

License

MIT. Third-party attribution is listed in THIRD_PARTY_NOTICES.md.

常见问题

What is open-codex-computer-use?

open-codex-computer-use is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by iFurySt. 👾 Open Computer Use – Open-Source Alternative to Codex Computer Use. It has 1,760 GitHub stars.

Is open-codex-computer-use safe to use?

Yes. open-codex-computer-use passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install open-codex-computer-use?

Clone the repository with "git clone https://github.com/iFurySt/open-codex-computer-use" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is open-codex-computer-use written in?

open-codex-computer-use is primarily written in Swift. It is open-source under iFurySt on GitHub, so you can review or fork the full source.

Are there alternatives to open-codex-computer-use?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh open-codex-computer-use against similar tools.

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